Clinical Data Scientist
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Job Description
Clinical Data Scientist building R Shiny dashboards and statistical tools for ICON’s sponsor-dedicated clinical trial programs. Ensuring CDISC-compliant outputs and modernized data workflows.
Responsibilities:
- Design, build, and maintain R Shiny applications for clinical study monitoring, data visualization, safety review, and exploratory analysis
- Develop modular, scalable, and well-documented R code following best practices
- Create interactive dashboards, visualizations, and bespoke analytical tools for cross-functional teams
- Optimize Shiny app performance, security, and usability for deployment in regulated environments
- Ensure all deliverables comply with CDISC standards, regulatory guidance, and internal SOPs
- Act as a subject matter expert for R and R Shiny within the team
- Mentor junior programmers and contribute to knowledge-sharing initiatives
- Participate in study meetings, providing technical insights and programming expertise
- Influence best practices, pipelines, and automation strategies for modernizing statistical workflows
- Collaborate with statisticians, data managers, clinical programmers, and project leads to design, develop, and maintain R-based solutions supporting study monitoring, data review, and analytical insight generation
Requirements:
- 5+ years of experience as a Statistical Programmer within the pharmaceutical/biotech/CRO industry
- Strong clinical data experience, including CDISC (SDTM & ADaM) and TLF production
- R Shiny experience, including end-to-end app development, UI/UX design, dashboard visualizations (ggplot2/plotly), performance optimization and debugging
- Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field
- Experience with Python, SAS, or other analytical tools
- Familiarity with pharmacovigilance or safety review workflows
- Experience with Real World Evidence data
- Experience deploying R Shiny apps (Shiny Server, Posit Connect, etc.)
- Exposure to automation, data engineering, or cloud environments
- Legal right to work in the country where the role is based
Benefits:
- Competitive salary and benefits package
- Career development and access to modern tools and training
- Competitive base salary and performance related incentives
- Health and wellbeing programmes including medical, dental, and vision coverage where applicable
- Retirement and pension plans
- Life assurance and disability coverage
- Employee assistance programmes and wellbeing resources
- Learning and development opportunities through structured training and career pathways
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